Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Waterborne Signaling Primes the Expression of Elicitor-Induced Genes and Buffers the Oxidative Responses in the Brown Alga Laminaria digitata

  • François Thomas,

    Affiliations Marine Plants and Biomolecules Laboratory, Unité Mixte de Recherche 7139, Station Biologique de Roscoff, Université Pierre et Marie Curie, Roscoff, France, Unité Mixte de Recherche 7139, Station Biologique, Centre National de la Recherche Scientifique (CNRS), Roscoff, France

  • Audrey Cosse,

    Affiliations Marine Plants and Biomolecules Laboratory, Unité Mixte de Recherche 7139, Station Biologique de Roscoff, Université Pierre et Marie Curie, Roscoff, France, Unité Mixte de Recherche 7139, Station Biologique, Centre National de la Recherche Scientifique (CNRS), Roscoff, France

  • Sophie Goulitquer,

    Affiliation Laboratoire de Biochimie, Epissage, Cancer, Lipides et Apoptose, Unit 613, Institut National de la Santé et de la Recherche Médicale, Faculté de Médecine, Université de Bretagne Occidentale, Brest, France

  • Stefan Raimund,

    Affiliations Adaptation et Diversité en Milieu Marin, Unité Mixte de Recherche 7144, Station Biologique, Université Pierre et Marie Curie, Roscoff, France, Unité Mixte de Recherche 7144, Adaptation et Diversité en Milieu Marin, Station Biologique, Centre National de la Recherche Scientifique (CNRS), Roscoff, France

  • Pascal Morin,

    Affiliations Adaptation et Diversité en Milieu Marin, Unité Mixte de Recherche 7144, Station Biologique, Université Pierre et Marie Curie, Roscoff, France, Unité Mixte de Recherche 7144, Adaptation et Diversité en Milieu Marin, Station Biologique, Centre National de la Recherche Scientifique (CNRS), Roscoff, France

  • Myriam Valero,

    Affiliations Adaptation et Diversité en Milieu Marin, Unité Mixte de Recherche 7144, Station Biologique, Université Pierre et Marie Curie, Roscoff, France, Unité Mixte de Recherche 7144, Adaptation et Diversité en Milieu Marin, Station Biologique, Centre National de la Recherche Scientifique (CNRS), Roscoff, France

  • Catherine Leblanc,

    Affiliations Marine Plants and Biomolecules Laboratory, Unité Mixte de Recherche 7139, Station Biologique de Roscoff, Université Pierre et Marie Curie, Roscoff, France, Unité Mixte de Recherche 7139, Station Biologique, Centre National de la Recherche Scientifique (CNRS), Roscoff, France

  • Philippe Potin

    Affiliations Marine Plants and Biomolecules Laboratory, Unité Mixte de Recherche 7139, Station Biologique de Roscoff, Université Pierre et Marie Curie, Roscoff, France, Unité Mixte de Recherche 7139, Station Biologique, Centre National de la Recherche Scientifique (CNRS), Roscoff, France

Waterborne Signaling Primes the Expression of Elicitor-Induced Genes and Buffers the Oxidative Responses in the Brown Alga Laminaria digitata

  • François Thomas, 
  • Audrey Cosse, 
  • Sophie Goulitquer, 
  • Stefan Raimund, 
  • Pascal Morin, 
  • Myriam Valero, 
  • Catherine Leblanc, 
  • Philippe Potin


As marine sessile organisms, seaweeds must respond efficiently to biotic and abiotic challenges in their natural environment to reduce the fitness consequences of wounds and oxidative stress. This study explores the early steps of the defense responses of a large marine brown alga (the tangle kelp Laminaria digitata) and investigates its ability to transmit a warning message to neighboring conspecifics. We compared the early responses to elicitation with oligoguluronates in laboratory-grown and harvested wild individuals of L. digitata. We followed the release of H2O2 and the concomitant production of volatile organic compounds. We also monitored the kinetics of expression of defense-related genes following the oxidative burst. Laboratory-grown algae were transplanted in kelp habitats to further evaluate their responses to elicitation after a transient immersion in natural seawater. In addition, a novel conditioning procedure was established to mimic field conditions in the laboratory. Our experiments showed that L. digitata integrates waterborne cues present in the kelp bed and/or released from elicited neighboring plants. Indeed, the exposure to elicited conspecifics changes the patterns of oxidative burst and volatile emissions and potentiates this kelp for faster induction of genes specifically regulated in response to oligoguluronates. Thus, waterborne signals shape the elicitor-induced responses of kelps through a yet unknown mechanism reminiscent of priming in land plants.


In land plants, long-distance signaling mediates induced resistance against herbivores and pathogens. The information is not only borne by systemic signals transported in the vascular system, but also by volatile compounds that move in the headspace outside the plant [1] [2]. Among these compounds, green-leaf volatiles and other herbivore-induced volatile organic compounds (VOCs) can mediate the systemic response to local herbivore damage in plants [1] [3] [4]. These VOCs diffuse in the air and potentially also reach neighboring plants, allowing “plant-plant communication", first reported about 25 years ago in trees [5] [6]. Although many ecologists have discounted the possibility of communication between plants [7] [8] [9] [10], recent work demonstrates that numerous taxonomically unrelated plants are capable of eavesdropping, with strong effects on herbivores and plant fitness [11] [12] updated in [13]. It was also proposed that this inter-plant communication is reminiscent of the potentiation of defense responses in animals [14], a so-called primed state that is associated with better or faster induction of the defense response upon biotic or abiotic stress [15].

In the marine environment, exposure to air is intermittent and restricted to intertidal seaweeds. Therefore, waterborne signaling has been hypothesized to represent the counterpart of airborne signaling [16]. Pheromone-mediated mating process is common in the marine environment. During sexual reproduction, most brown algae recognize fatty-acid-derived C8 and C11 hydrocarbons as waterborne sexual pheromones [17]. In the context of biotic interactions, defensive changes can be induced in aquatic prey animals by signals from predators or predator-wounded conspecifics [16]. This phenomenon is especially well documented in freshwater ecosystems [18] [19]. In marine benthic communities, this type of communication has been reported in rockweed (Ascophyllum nodosum) — a common brown alga of North Atlantic rocky shores — when it interacts with an herbivorous snail [20] [21] as well as in other species of fucoids challenged with crustacean grazers [22] [23]. Little is known about the chemical structure of these waterborne cues and the steps that lead from their perception to the actual defense response [20], which may express its features only after a secondary attack. Only direct induction of defense responses has been shown to date. In comparison to the current knowledge on the transcriptional responses involved in the defense against pathogens or herbivores in terrestrial plants, changes in gene expression that lead to induced resistance phenomena has only rarely been investigated in marine multicellular algae [24]. Most of the studies on the defense response in marine algae report on the various traits that are expressed de novo or at much higher intensities to reduce or prevent further damage, such as oxidative burst-related responses [25] and activation of the synthesis of secondary metabolites [26] [27].

The kelp Laminaria digitata belongs to the order Laminariales in brown algae which, together with oomycetes and diatoms, constitute the eukaryotic lineage of Heterokonta or Stramenopiles [28]. Therefore, very distant phylogenetic relationship between brown algae and other eukaryotic lineages, namely metazoans and land plants, raises the possibility that these organisms display distinct defense responses and immunity traits [28]. L. digitata recognizes elicitors such as oligosaccharide fragments of alginate (oligoguluronates, GG), its major cell wall component. GGs recognition initiates a cascade of signaling events and leads to an oxidative burst [29] and the control of pathogenic bacteria [30]. At longer term, GGs also induce a resistance against the brown algal epi/endophyte Laminariocolax tomentosoides [30]. Lipopolysaccharides (LPS) originating from the outer membrane of Gram-negative bacteria also trigger an oxidative burst in L. digitata [31]. Furthermore, polyunsaturated fatty acids and the plant hormone methyl jasmonate lead to resistance to endophytic algae [32]. Cosse et al. [33] reported that GGs induce the expression of a set of putative defense genes in L. digitata. These genes provide the first markers that can be used to monitor specific gene expression during elicitor-induced defense response in a macroalga. In addition, in response to both biotic (i.e. GG-perception) and abiotic oxidative stress, L. digitata naturally emits volatile aldehydes [34] and halocarbons [35]. These compounds are chemically related to VOC species which prime defense responses in terrestrial plants and act as airborne signals [1] [2],[13] [36]. This similarity raises the question of the possible occurrence of distance signaling in kelps.

In this context, this study aims to investigate the ability of challenged kelps to spread a warning message to neighboring conspecifics. First, we compared the responses induced by elicitation in laboratory-grown and freshly harvested or laboratory-acclimated wild algae. This approach showed that the natural environment shapes the elicitor-induced defense responses of L. digitata. Hence, we postulated that exposure to waterborne signals from neighboring plants may allow these kelps to prime their defenses and respond more rapidly or perhaps to a greater degree if they are subsequently challenged. To test this hypothesis, we designed two experiments. First, laboratory-grown algae were temporarily reintroduced at a field site in a tide pool colonized by a natural population of L. digitata. Furthermore, the effects of this transplantation were mimicked in the laboratory by a novel conditioning procedure based on co-incubation of naive “target" L. digitata individuals with “source" individuals that had previously been challenged with GGs (“conditioning pre-treatment") or not (“control pre-treatment"). Here, we address the following questions: (1) do the treatments modify the pattern of oxidative burst in elicited algae, (2) do the conditioned algae respond to GG with an earlier and/or increased expression of defense-related genes; (3) how does conditioning affect the production of VOCs?

Materials and Methods

Ethics statement

Relevant permissions were obtained for observational and field studies from the French governmental authorities at Department of Maritime Affairs of Brest.

Algal material and elicitation procedures

The kelp life cycle consists of a microscopic haploid gametophyte phase, alternating with macroscopic diploid sporophytes. In this study, all experiments were done on the macroscopic diploid individuals. Young Laminaria digitata thalli were collected from the field (“wild sporophytes") in two populations separated by 8 km: Pointe Sainte Barbe (+48°43′3564, −3°58′697, Roscoff, Brittany, France) and Ile de Sieck (+48°42′2469, −4°3′5984, Santec Brittany, France). If not used immediately, they were maintained as described in Cosse et al. [33] at 14°C with air bubbling in a 10 L flask of filtered seawater (FSW) collected off shore of Roscoff at Astan (+48°46′40, −3°56′15), a site with no chemical influence from near shore/intertidal seaweed beds. Laboratory-grown sporophytes were obtained as unialgal cultures grown from random crosses of gametophytes yielded in the laboratory from mature wild sporophytes collected in the same populations. Developing sporophytes were then transferred to larger flasks after 2 wk and grown until they reached a size of about 4 to 6 cm, as previously described [33]. Provasoli Enriched Seawater (PES) culture media prepared with natural FSW from Astan were changed weekly and were illuminated with daylight-type fluorescent lamps at an irradiance of 25 µE.m−2.s−1 for 10 h per day and kept at 12±1°C.

Alginate oligosaccharides with a polymerization degree ranging from 15 to 25 [37] were prepared in the laboratory by acid hydrolysis according to Haug et al. [38] using sodium alginate from Laminaria hyperborea stipes (Danisco, Landerneau, France). The purest homopolymeric blocks of poly-alpha-1,4-L-guluronic acid (oligoguluronates, GG blocks) were selected and used as an elicitor at a final concentration of 150 µg.mL−1 as described in Küpper et al. [29]. During elicitation experiments, hydrogen peroxide concentrations in the seawater were monitored by luminometry as in Küpper et al. [29]. Then, 3, 6, and 12 hours after the elicitation, the three replicates were frozen in liquid nitrogen and stored at −80°C prior RNA extraction. These samples were monitored by Reverse Transcription Quantitative PCR (RT-qPCR) for the expression of six previously identified defense-related genes, namely the genes encoding a key enzyme from the pentose phosphate pathway (glucose-6-phosphate dehydrogenase, g6pd), two thioredoxins (trx and prx), two haloperoxidases (ipo3 and bpo3) and a mannitol-1-phosphate dehydrogenase (mtld) [33].

Transient transplantation in the field

The experiments took place at Pointe Sainte Barbe (Roscoff) in November 2007 and April 2008. Six laboratory-grown sporophytes were placed in a 20 L nylon net and transferred into a tide pool, allowing direct contact with the seawater bathing a natural kelp population. Sporophytes were incubated in these conditions for 90 min or 24 h, and taken back to the laboratory with six young thalli of wild sporophytes (4–10 cm in length) harvested from the same tide pool. As control, 6 laboratory-grown sporophytes were introduced into the same tide pool in a sealed transparent 20 L plastic bag filled with filtered seawater (FSW) to prevent contact with natural seawater in the field. Control laboratory-grown sporophytes were kept in FSW in similar bags in culture room at 14°C. All transplanted, wild and control algae were separately reacclimated in laboratory conditions for 24 h. For elicitation experiments, each plantlet was placed separately in a Petri dish (Ø 90 mm) containing 20 mL FSW on a rotary shaker. Three plantlets of each batch were elicited with GG, the three others being kept in FSW. Hydrogen peroxide release was monitored in each Petri dish by luminometry [29]. After three hours of treatment, the plantlets were frozen in liquid nitrogen and stored at −80°C. After RNA extraction, RT-qPCR was used to monitor the expression of the six defense-related genes described in the above section.

Conditioning procedure in the laboratory

Figure 1 shows the detailed design of the laboratory conditioning procedure. Wild sporophytes were harvested at Ile de Sieck and maintained 4 days in a 10 L flask of FSW with air bubbling as described above. For conditioning, “source" sporophytes were elicited by application of GG in FSW for 10 min, and rinsed twice with FSW to remove any traces of elicitors. Control non-elicited source sporophytes were handled in the same way. Control “target" sporophytes (approx. 0.2 to 1 g in weight and 4–10 cm in length) were placed separately in Petri dishes (Ø 140 mm, 150 mL FSW) under agitation together with one non-elicited source sporophyte. Using the same procedure, test target sporophytes were “conditioned" by exposing them to previously elicited source sporophytes. After 24 h of co-incubation, each target sporophyte was transferred to a new Petri dish (Ø 90 mm) for further experiments. Unconditioned and conditioned target sporophytes were elicited separately in 50 mL of FSW, and H2O2 concentrations were followed by luminometry. FSW was sampled after 1 h to measure VOCs. Experiments were conducted each time with three independent replications. Algal tissues were then frozen in liquid nitrogen after 1.5, 3 and 6 hours and stored at −80°C until RNA extraction. Using RT-qPCR, we measured the relative transcript levels of nine defense-related genes, 5 of the 6 previously measured, namely g6pd, trx, prx, ipo3, and bpo3, and 4 additional genes, iodoperoxidase 1 (ipo1), heat shock protein (hsp70), 6-phosphogluconate dehydrogenase (6pgd2), and methionine sulfoxide reductase (msr), which were also previously shown to be regulated by GG [33].

Figure 1. Laboratory pre-treatment procedures to produce conditioned and control algal sporophytes.

“Source" sporophytes were either elicited by application of GG in filtered seawater, either handled in the same way without elicitation for control procedure. Control and conditioned “target" sporophytes were co-incubated with non-elicited or elicited source algae, respectively. After 24 hours, the defense responses of each target sporophyte were tested by a subsequent oligoguluronate-elicitation.

Aldehydes and volatile halogenated organic compounds (VHOCs) measurements

Aldehydes were extracted from 25 mL seawater samples and analyzed according to Goulitquer et al. [34]. VHOC concentrations in seawater were determined as in Pruvost et al. [39] with modifications. VHOCs were separated by purging with a purge-flow of 90 mL.min−1 ultra-pure nitrogen for 20 min, focused on a glass bead trap (Grace, DMCS treated, 80/100 mesh) at −120°C and subsequently injected by thermodesorption (100°C, backflush). VHOCs were identified and quantified by comparison with known standard solutions (Ultra Scientific and Supelco).

RNA extraction and RT-qPCR

Total RNA was extracted using an adapted protocol from Apt et al. [40] and treated with Turbo DNase (Ambion, Huntingdon, UK). Total RNA was quantified by Nanodrop ND 1000 spectrophotometer (Labtech International LTD, East Sussex, UK). RT-qPCR was performed as in Cosse et al. [33], starting from 400 ng total RNA. Genomic DNA of L. digitata was used as reference matrix during each real-time PCR run to generate a standard curve. Results were expressed as number of L. digitata genomes per nanogram of total equivalent RNA. Normalization of the transcript levels was performed using a normalization factor defined as the geometric average of the expression of the three reference genes Ld tubulin, Ld actin, and Ld EF1α as recommended in recent published guidelines [41] [42].

Statistical data analysis

For each defense related gene, statistical differences in the kinetics of expression (time effect) under different conditions (either algal origin or conditioning treatment) were tested by two ways ANOVAs. In the first ANOVA model, we tested for the effects of algal origin (laboratory-grown versus wild sporophytes), time (3, 6 and 12 hours of gene expression time-course) and their interactions on the intensity of gene induction after elicitation by GG. In the second ANOVA model, we tested for the effects of conditioning treatment (conditioned and control algal sporophytes as described in Figure 1), time (1.5, 3 and 6 hours of gene expression time-course) and their interactions, on the transcript levels of defense-related genes. For each ANOVA, the two factors were treated as fixed and Type III sums of squares were used for tests of significance because of the unbalanced design due to one missing value. Indeed, three replicates were generally done for each combination of the two factors except for the first ANOVA, in which only two replicates were done for time = 12 h and origin = lab-grown sporophytes and for the second ANOVA in which only two replicates were done for effects of conditioning treatment = elicited and time = 3 h. General linear model procedures were used. Data were transformed when necessary to meet the assumptions of normality and homogeneity of variance. Multiple comparisons of means were performed using the Tukey-Kramer test method. ANOVAs, multiple comparisons of means, transformation of variables and Student's t-test comparison of means were done using MINITAB (version 13.2 MiniTab Inc. 1994, State College USA).


Wild and laboratory-grown L. digitata sporophytes display different GG-induced responses

To investigate whether containment in a laboratory could modify the defense patterns in a brown alga, we compared the GG-induced responses of laboratory-grown sporophytes of L. digitata and freshly collected wild sporophytes of similar size. First, we followed the oxidative response induced by elicitation with GG. In both types of sporophytes, the challenge with GG was rapidly followed by an increase of hydrogen peroxide concentration in the surrounding medium within 10 to 15 minutes. However, the features of the two oxidative bursts were very different according to the origin of the algae (Figure 2A). Laboratory-grown sporophytes released up to 6.21±0.49 µmol.g−1 FW of hydrogen peroxide 45 min after elicitation. In comparison, the oxidative burst observed for wild sporophytes was less intense, reaching a maximum of 0.30±0.14 µmol g−1 FW of H2O2 and returning to initial levels within 40 min.

Figure 2. Elicitor-response patterns in laboratory-grown and wild sporophytes of Laminaria digitata.

A. Laboratory-grown (right scale) and harvested wild (left scale) L. digitata sporophytes were elicited with oligoguluronates in filtered seawater (FSW) and the concentration of H2O2 was recorded. Sample size was n = 2–3 thalli and values represent means +/− Standard Errors of Means (SE) on two different scales. B. Kinetics of defense-related gene expression in laboratory-grown and harvested wild L. digitata sporophytes. Fold variations of transcript levels quantified by RT-qPCR were calculated from different individual thalli (n = 3) between control and elicited sporophytes. For each of the defense related genes, differences between the six conditions (algal origin*time interaction) were tested using Tukey-Kramer test for multiple comparisons of means presented in Table 1 (Letters above the error bars indicate groups that are not significantly different, p<0.05). C. Values of the maximum of H2O2 concentrations reached during the oxidative burst by wild L. digitata sporophytes elicited either immediately after harvest from their natural habitats or after laboratory incubation in FSW. Values are mean ± SE (n = 3).

In the same experiment, we profiled the expression kinetics of six previously identified defense-related genes [33]. Statistical analyses revealed a time effect for 5 genes whereas the origin of the algae was a significant factor on trx and prx gene expression pattern (Table 1). In wild sporophytes, the expression of the six defense marker genes (g6pd, trx, prx, ipo3, bpo3, mtld) was significantly induced and reached maximum levels 3 h after elicitation, returning to the control level within 6 to 12 hours (Figure 2B). In contrast, only trx and bpo3 genes were induced by GGs in laboratory-grown sporophytes and their expression was maximal 6 and 12 h after elicitation, respectively (Figure 2B). The difference of kinetic responses between wild and laboratory grown sporophytes was significant for four defense marker genes (algal origin*time interaction, Table 1).

Table 1. Effects of algal origin, time and their interactions on the intensity of gene induction after elicitation by GG.

We elicited wild L. digitata sporophytes collected from the field either immediately, or after 2, 4, 5 and 8 days of incubation in FSW in the laboratory. The longer wild sporophytes were kept in the laboratory, the more intense their oxidative response was (Figure 2C). Four days of incubation in FSW were sufficient to increase the accumulation of H2O2 by 165%, and it reached 400% after 5 days of incubation.

Transient transplantation of laboratory-grown L. digitata sporophytes in nature modifies subsequent GG-induced responses

The intensity of the oxidative burst of the laboratory-grown sporophytes, field-transplanted in a sealed bag for 90 min, reached 4.71±0.47 µmol H2O2 g−1 FW and was not significantly different from that of algae that had stayed in the laboratory (Figure 3A). In contrast, the sporophytes, field-transplanted in a net, displayed a much less intense oxidative burst (1.84±0.31 µmol H2O2.g−1 FW), which is not significantly different from that observed for wild sporophytes harvested in the same kelp bed (Figure 3A). These experiments were repeated with longer transplantation periods of 24 h with similar patterns of oxidative responses (data not shown). RT-qPCR was used to monitor the expression of defense-related genes 3 h after the GG challenge (Figure 3B). In laboratory-grown L. digitata that was transplanted in the field in a sealed plastic bag for 24 h, elicitation induced the expression of only trx and bpo3 after 3 h (5 and 3-fold variations compared to non-elicited control, respectively; Figure 3B). In contrast, for laboratory-grown L. digitata was also temporarily transplanted in the field but in a net allowing contact with seawater, the elicitation induced the expression of g6pd, trx, mtld, ipo3 and bpo3 (between 1.5 and 9-fold variation compared to non-elicited controls). Moreover, 4 genes (g6pd, trx, prx, mtld) showed a significantly different pattern of expression after 3 h of elicitation between algae directly exposed or without contact with natural seawater (Figure 3B).

Figure 3. Effects of transplantation to a kelp field of laboratory-grown L digitata sporophytes on elicitor-response patterns.

Laboratory-grown sporophytes were kept in filtered seawater (FSW) in the laboratory (white) or transferred to a kelp population, either in a hermetically sealed plastic bag filled with FSW (light grey) or in a net allowing direct contact with natural seawater (NSW) (dark grey). Wild sporophytes were harvested from the same kelp bed (black). Sporophytes were taken back to the laboratory and subsequently elicited with GGs. A. Values of the maximum amount of H2O2 detected in FSW after elicitation in laboratory-grown sporophytes, previously transferred (or not) in the kelp bed for 90 min, and wild-type L. digitata sporophytes. Values are means ± SE (n = 3). Letters above the error bars indicate groups that are not significantly different (Tukey-Kramer test for multiple comparisons of means, p<0.05). B. Expression of defense-related genes in laboratory-grown L. digitata sporophytes transplanted either in a net or a sealed bag in the kelp bed for 24 hours and subsequently elicited with GGs for 3 h in laboratory. Fold variations of transcript levels quantified by RT-qPCR were calculated between control and elicited sporophytes. Values are means ± SE (n = 3). For each defense related genes, differences of fold variations were tested using a t-test between algae previously kept in a sealed bag or maintained in a net allowing direct contact with natural seawater (the results of the tests are indicated above the error bars, ns: non-significant, p>0.05; *: p<0.05; **: p<0.01).

Development of a conditioning procedure in the laboratory

We developed a novel laboratory assay to further elucidate the phenomenon responsible for the discrepancy observed between wild and laboratory-grown sporophytes and the effect of transplantation in the field (Figure 1). Naive “target" laboratory-grown L. digitata sporophytes were co-incubated with “source" laboratory-grown sporophytes that had previously been challenged with GGs or not. Then, target sporophytes were transferred into fresh FSW and further experiments were conducted to characterize their defense responses. Neither the conditioned sporophytes nor the controls constitutively produced extracellular H2O2 (data not shown). A challenge with GGs triggered an oxidative burst in both conditioned and unconditioned sporophytes (Figure 4). However, maximum H2O2 accumulation was reached significantly earlier in conditioned sporophytes than in unconditioned ones, after 7.7±0.6 min and 12.0±1.0 min, respectively. External H2O2 concentrations tended also to be lower in the elicited conditioned sporophytes.

Figure 4. GG-induced oxidative burst in conditioned and unconditioned L. digitata sporophytes.

Sporophytes were elicited with GGs in seawater and the concentration of H2O2 was recorded. Experiments were replicated three times and a typical result is shown. Inset: Means and standard errors (n = 3) of the time required to reach the maximum of H2O2 concentrations in the medium after elicitation. The two means were significantly different for conditioned (black bar) and unconditioned (white bar) L. digitata sporophytes (t test: *, P≤0.05).

Before challenging with GGs, the transcript levels of the nine studied genes were not significantly different in unconditioned and conditioned target sporophytes (t-test, P>0.40, n = 3, see Table S3). After elicitation, five genes showed a significant regulation over the three time points assessed, two genes (prx, msr) displayed also a significantly different pattern of expression depending on pre-treatment and for 6pgd2 the interaction between time and pre-treatment was significant (ANOVA, Table 2). When comparing the kinetics of expression pattern, the elicited conditioned algae seem to feature higher levels of induction for almost all the genes (Figure 5). Seven genes out of nine were upregulated in conditioned sporophytes at 1.5 h and down-regulated afterwards (Figure 5). Statistical analyses revealed three main trends for gene regulation. A first one showed no clear up- and down-regulation pattern over the 6 hours, even if genes are induced by GGs, neither significant difference between treatment (g6pd, ipo3 and bpo3). A second trend also presented a similar pattern of regulation for both types of algae upon GGs (trx, ipo1 and hsp70), but with a rapid (after 1.5 or 3 h), very high and transient up-regulation, especially for trx and hsp70. A third type of expression pattern showed significant differences between unconditioned and conditioned algae with a earlier (6pgd2), faster or stronger (6pgd2, msr) up-regulation of genes (Figure 5).

Figure 5. Change in transcript levels of defense-related genes in conditioned and unconditioned L. digitata sporophytes after elicitation with GGs.

Transcript levels were quantified by RT-qPCR before elicitation (t = 0) and after 1.5 h, 3 h and 6 h. Values represent the fold changes in transcript levels at one time point compared to t = 0 (t/t0, means ± SE, n = 3). For each defense related genes, differences between the six conditions (treatment *time interaction) were tested using Tukey-Kramer test for multiple comparisons of means presented in Table 2 (letters above the error bars indicate groups that are not significantly different, p<0.05). For 6pgd2, statistical analyses were based on two time kinetics (1.5 and 6 h).

Table 2. Effects of conditioning treatment, time and their interactions on the intensity of gene induction after elicitation by GG.

The conditioning procedure down-regulates the GG-induced release of VOCs

Using this novel conditioning procedure (Figure 1) we monitored the release of volatile organic compounds (VOCs) in the seawater surrounding target sporophytes 1 h after GG elicitation (Tables S1 and S2). Elicitation of unconditioned sporophytes enhanced the emission of most VOCs measured (Figure 6) compared to non-elicited ones. Among aldehydes, the highest fold variations were recorded for 4-HDDE (6-fold increase) and hexanal, 2,4(t,t)-decadienal, dodecadienal, 4-HHE and 4-HNE (3- to 4-fold increases). For the volatile halocarbons, iodoethane (CH3CH2I) and diiodomethane (CH2I2) showed the highest increases (6- and 3.7-fold increases, respectively, compared to non-elicited controls). This induction was less pronounced for brominated compounds, the most responsive being bromodichloromethane (CHBrCl2) and dibromomethane (CH2Br2) with a 2-fold increase. In conditioned algae, the 1 h elicitation was not followed by such an increase in the amount of VOCs. The production of most aldehydes by the elicited conditioned sporophytes was equal to or even lower than that measured for non-elicited unconditioned ones. Exceptions were hexanal, 4-HNE and 2,4(t,t)-decadienal and these were only induced 2-fold compared to controls. As aldehydes, the overall elicitation-induced production of halocarbons was also lower in conditioned sporophytes compared to unconditioned sporophytes (Figure 6).

Figure 6. Release of VOCs by conditioned and unconditioned L. digitata sporophytes after elicitation with GGs.

VOCs were quantified in the medium surrounding L. digitata 1 h after challenge or not with GGs. For each compound, the non elicited unconditioned control level was set to a relative unit of 1 to express the fold-variation in the other conditions (absolute concentration values are provided in Tables S1 and S2). 4-HHE, 4-hydroxy-(E)-2-hexenal; C7:2, (E,E)-2,4-heptadienal; C8:2, 2,4-octadienal; C8:3, 2.4.7-octatrienal; 4-HNE, 4-hydroxy-(E)-2-nonenal; C10:3, 2.4.7-decatrienal; 4-HDDE, 4-hydroxydodecadienal; CH3CH2I, iodoethane; CH2I2, diiodomethane; CHBr3, bromoform; CHBr2Cl, dibromochloromethane; CHBrCl2, bromodichloromethane; CH2Br2, dibromomethane. Values are means of three independent replicates.


Three main conclusions emerge from our observations and experiments. First, our results show that L. digitata sporophytes grown in the laboratory display altered GG-induced responses compared to wild conspecifics freshly harvested in the field. Second, laboratory-grown sporophytes that were transplanted in the field exhibit GG-induced responses that resemble those of wild specimens. This suggests that transient contact with seawater in a kelp beld is sufficient to affect the algal responses to subsequent elicitation with GG. Third, the conditioning procedure that we developed mimics to some extent our field observations. Target sporophytes reacted differently to GG-elicitation according to whether source sporophytes had been elicited or not before co-incubation (conditioning or control procedure, respectively).

Upon elicitation with oligoguluronates, laboratory-grown and wild sporophytes exhibited an oxidative burst, as reported in the literature [29]. However, we showed that H2O2 levels were 30 times lower in wild sporophytes compared to laboratory-grown specimens (Figure 2A). This more pronounced oxidative burst in laboratory-grown sporophytes was not associated with inter-individual variability as it was also observed in specimens cultured from meiospores isolated from mature sporophytes from populations of Helgoland in Germany [30]. In addition, the gene expression analysis showed that this response cannot be attributed to desensitization of wild sporophytes to GG elicitation: even if their oxidative responses were less intense, wild sporophytes still perceived the defense signal and activated the expression of GG-responsive genes (Figure 2B). Furthermore, our data indicate that this molecular response involves more genes (6 up-regulated genes versus 2) and is more rapid and intense in wild sporophytes than in laboratory-grown specimens (Figure 2B). In terms of kinetics, gene induction in wild algae was consistently and rapidly repressed, returning to initial levels within 12 h after elicitation. In comparison with laboratory-grown algae, the mean induction of expression in wild specimens was higher at 3 h and lower at the end of the experiment. Together, these results support the hypothesis that wild and laboratory-grown L. digitata sporophytes are in a different state, which may be explained by their different environmental living conditions, i.e. natural environment vs. controlled culture conditions. This is supported by the fact that the elicitation-induced oxidative responses of wild specimens from the field transferred in culture conditions changed after 5 days, becoming more and more similar to that observed for laboratory-grown sporophytes (Figure 2C).

To investigate the possibility of an effect of the natural environment on the defense capacities of L. digitata sporophytes, we conducted transplantation experiments of laboratory-grown algae in a natural kelp population located in a tide pool. We showed that a direct contact with the seawater from the field significantly affects algal responses to subsequent elicitation. Under GG elicitation, transplanted laboratory-grown sporophytes in contact with the seawater displayed a response that resembled that of wild specimens. The oxidative burst was three times less and no more significantly different compared to wild algae (Figure 3A). Moreover four genes instead of two were induced compared to controls maintained in laboratory cultures (Figures 2B and 3B). Algae that were introduced into the same kelp population in a sealed transparent plastic bag to prevent contact with natural seawater in the field did not show this response. The intensity of the elicitation-induced oxidative burst was not significantly different from the non-transplanted controls (Figure 3A). The GG-induced gene response of the specimens transplanted in a sealed bag was also very similar to that of laboratory-grown algae (Figures 2B and 3B). This shows that the observed effect of the natural environment on the defense capacities cannot be attributed to physical parameters such as light or temperature. Indeed, these transplantation experiments suggest that direct contact with natural seawater can explain the discrepancy observed between defense responses of wild and laboratory-grown algae. Significant modification of the laboratory-grown algal responses were obtained only after 90 min of transplantation; we propose that L. digitata sporophytes are able to perceive waterborne infochemicals present in the natural environment, enhancing their capacity to efficiently react to further stress.

To test this hypothesis of external defense signals in kelps, we developed a novel experimental assay. Using L. digitata sporophytes as sources of potential signals to be perceived by target sporophytes (Figure 1), we showed that target sporophytes react differently to GG elicitation whether source sporophytes had been elicited or not before co-incubation (conditioning or unconditioning control procedure, respectively). Conditioned target sporophytes produced a less intense oxidative burst (Figure 4). This can be explained by a faster triggering of the reactive oxygen species (ROS) detoxification process, because H2O2 concentration began to decrease significantly earlier in conditioned sporophytes. In addition, as wild specimens in Figure 2B, conditioned sporophytes showed higher and faster up-regulation of genes involved in managing ROS, such as trx, prx and msr, in response to elicitation, compared to unconditioned algae (Figure 5). Before challenging with GGs, the transcript levels were not significantly different in unconditioned and conditioned sporophytes (Table S3). This indicates that the enhanced transcriptional response in conditioned sporophytes is not based on primary induction of defense mechanisms. Despite the limited number of genes tested, the differences are significant for three GG-responsive genes, msr, prx and 6pgd2 (Table 2). The conditioning procedure has therefore a real effect on subsequent molecular defense responses in L. digitata. Altogether, both transplantation and conditioning experiments showed that L. digitata integrates waterborne cues present in the kelp bed and/or released from elicited neighboring plants, which later increase reactivity to elicitation.

This is strikingly similar to the priming effect known in the terrestrial environment [43]. In plant cells, this sensitization causes more rapid and/or stronger responses to environmental stresses upon appropriate stimulation. It can be induced biologically by beneficial rhizobacteria and mycorrhizal fungi or through VOCs emitted following plant interactions with pathogens [13] or insects [1]. It is also chemically mediated by application of low doses of salicylic acid (SA), its synthetic analog benzothiadiazole (BTH), jasmonates or ß-aminobutyric acid (BABA) [15] [44] [45]. In L. digitata sporophytes, the perception of putative waterborne molecules potentiates the gene response to elicitation (Figure 3). Moreover, conditioned algae displayed faster or stronger elicitation-dependent induction of specific defense genes (Figure 5). These results resemble the priming effects on the expression of defense genes shown in terrestrial plants. In particular, Ton et al. [36] found an earlier and/or stronger transcriptional induction of six defense-related genes in maize plants that had previously been in contact with airborne signals from herbivore-infested neighbors. In addition, our results suggest that the priming-like mechanism of L. digitata sporophytes affects the way they react to oxidative stress. It has been shown that the oxidative burst is an important prerequisite for induced resistance against a bacterial pathogen [30] and that ROSs may act as signaling agents that trigger defense reactions [33]. However, high levels of ROSs can have deleterious effects on the algal cells if their production and detoxification is not strictly controlled [46]. We suggest that perception of the putative signal potentiates the detoxifying capacities of ROS in primed sporophytes (Figure 4). This would reduce the damage to algal cells while keeping the effect of ROS as toxic compounds against attackers and/or as defense-signaling agents. That the priming-affected genes, such as prx and msr, are implicated in the oxidative stress management provides further support for this hypothesis.

In response to both biotic and abiotic oxidative stresses, it has been shown that L. digitata naturally emits volatile aldehydes [34] and halocarbons [35] in large amounts. The biological significance of distance signaling in conditioned L. digitata was further analyzed by monitoring the volatile organic compounds (VOC) released in response to elicitation. We showed that conditioned sporophytes release lower amounts of VOCs in response to GG elicitation compared to unconditioned algae (Figure 6). As VOC emissions depend on oxidative stress in kelps [34], [35], their lower production supports the fact that conditioned algae displayed enhanced ROS detoxification mechanisms.

Taken together, these results indicate that waterborne cues released by neighboring conspecifics shape the responses of kelps to subsequent challenge. These data suggest that priming-like mechanisms exist in kelps and may be a conserved feature of defense and innate immunity among eukaryotic lineages such as brown algae, land plants and mammals, separated by an evolutionary distance of at least 1 billion years [28]. Primed sporophytes show more efficient anti-oxidant responses after elicitation, as shown by H2O2 (Figures 3A and 4) and VOC (Figure 6) levels, and display faster and/or stronger transcriptional responses (Figure 5). Defense-related waterborne communication in marine algal models has already been reported. Previous studies have demonstrated that external cues released either directly from the brown algae A. nodosum and Fucus vesiculosus or from feeding grazers were able to directly induce chemical defenses in unharmed conspecifics [20] [22]. However, only late defense responses have been studied so far and only direct induction of defenses has been demonstrated. In the present study, we investigated the earlier steps of the defense responses and showed that waterborne signals also have a potentiating effect, preparing sporophytes to better respond to further challenge without directly triggering defense reactions. It is believed that this priming phenomenon precludes the costly direct allocation of resources to a defense that may eventually not be required, while increasing resistance in case of further attack [47] [48]. In addition to conditioning in the laboratory, the field transplantation experiments we conducted revealed that contact with the natural environment can potentiate the defense responses of L. digitata. It confirms that priming mediated by waterborne signals released from L. digitata, or potentially from other algae, occurs in nature. This may explain the drastic differences observed for the elicitation-induced oxidative burst (Figure 2A) and transcriptional responses (Figure 2B) of wild algae compared to laboratory-grown sporophytes. The primed state of harvested wild algae is at least partly reversible, as demonstrated by the progressive change in their oxidative response to elicitation after being cultured for a few days in the laboratory. However, even after 8 days of isolation from putative environmental signals in the field, the oxidative response of wild sporophytes does not reach the very high levels of the laboratory-grown algae (Figure 2C). This suggests that the effect of signal perception may persist for longer periods. This observation fits the emerging concept of plant memory or “stress imprint" [49] [50].

Overall, our results demonstrate that waterborne cues induce priming and greatly shape the defense responses of kelps. It raises the question as to the effects at the community level. Most kelp species, including L. digitata tend to form highly dense stands that restrict distances between neighboring conspecifics. This proximity allows direct intermittent contacts between blades of the same or of different individuals and might lead to mixing of exudates containing putative signaling compounds. The huge production of biomass in the coastal environment might also provide kelps with a wealth of potential infochemicals. Measurements in tide pools containing L. digitata detected the presence of a cocktail of volatile aldehydes [34], alkenes [51] and halogenated compounds [52]. In nature, wild sporophytes are thereby likely to integrate infochemicals to control oxidative burst, production of VOCs and defense-related gene expression. Kelp forests represent both important habitats and food sources for a wide range of consumers and are subjected to multiple biotic (i.e. herbivores, pathogens, etc.) and abiotic stresses (i.e. desiccation, UV, etc.). Previous studies on the A. nodosum algal model have shown that waterborne signaling affects the population dynamics of herbivores and predators in controlled laboratory conditions [21] [53]. It has also recently been suggested that resistance to herbivores may be induced in advance by waterborne cues and spread effectively throughout a F. vesiculosus belt [23]. In diatoms, perception of sublethal levels of aldehydes such as (2E,4E/Z)-decadienal by cells close to damaged cells could sensitize resistance to successive aldehyde exposure, providing an early-warning protective mechanism, as shown by Vardi et al. [54]. In terrestrial plants, priming has been reported to occur in different types of induced resistance and is considered as an important ecological adaptation to environmental stress [4] [13] [48] [55]. Interestingly, it has been shown in Arabidopsis thaliana that the fitness costs of priming are lower than those of constitutively activated defenses [47].

Based on these laboratory and field experiments, we hypothesize that inter-individual communication via stress- or defense-related signals may influence the structure of marine communities in coastal ecosystems. The novel conditioning procedure described in this work to prime kelps in the laboratory will facilitate further study of this mechanism, such as the identification of the putative signal(s) and of their impacts on herbivore or pathogen resistance.

Supporting Information

Table S1.

Aldehyde concentrations (ng.mL−1.g−1 FW) in surrounding seawater before and after a one-hour GG elicitation of L. digitata sporophytes. Values are given for three independent replicates.


Table S2.

Volatile halocarbon (VHOC) concentrations (pmol.L−1.g−1 FW) in surrounding seawater before and after a one-hour GG elicitation of L. digitata sporophytes. Values are given for three independent replicates.


Table S3.

Transcript levels of defense-related genes in conditioned and unconditioned L. digitata sporophytes, before elicitation. Values are mean ± s.e.m. (n = 3).



This work was conducted in the Laboratoire International Associé “Dispersal and Adaptation of Marine Species" (LIA DIAMS) PUC, Chile and CNRS–UPMC, France.

Author Contributions

Conceived and designed the experiments: FT AC CL PP. Performed the experiments: FT AC SG SR. Analyzed the data: FT AC MV. Contributed reagents/materials/analysis tools: SG SR PM. Wrote the paper: FT AC CL PP. Supervised SG and FT Ph.D. thesis: PP CL. Supervised SR Ph.D. thesis: PM.


  1. 1. Frost C, Appel H, Carlson J, De Moraes C, Mescher M, et al. (2007) Within-plant signalling via volatiles overcomes vascular constraints on systemic signalling and primes responses against herbivores. Ecol Lett 10: 490–498.
  2. 2. Heil M, Ton J (2008) Long-distance signalling in plant defence. Trends Plant Sci 13: 264–272.
  3. 3. Karban R, Shiojiri K, Huntzinger M, McCall A (2006) Damage-induced resistance in sagebrush: Volatiles are key to intra- and interplant communication. Ecology 87: 922–930.
  4. 4. Heil M, Silva Bueno J (2007) Within-plant signaling by volatiles leads to induction and priming of an indirect plant defense in nature. Proc Natl Acad Sci USA 104: 5467–5472.
  5. 5. Baldwin IT, Schultz JC (1983) Rapid changes in tree leaf chemistry induced by damage: evidence for communication between plants. Science 221: 277–279.
  6. 6. Rhoades D (1983) Responses of alder and willow to attack by tent caterpillars and webworms: evidence for pheromonal sensitivity of willows. In: Hedin P, editor. Plant resistance to insects. Washington, D.C, USA: Am Chem Soc. pp. 55–68.
  7. 7. Fowler S, Lawton J (1985) Rapidly induced defenses and talking trees: the devil's advocate position. Am Nat 126: 181–195.
  8. 8. Bruin J, Sabelis M, Dicke M (1995) Do plants tap SOS signals from their infested neighbors? Trends Ecol Evol 10: 167–170.
  9. 9. Shonle I, Bergelson J (1995) Interplant communication revisited. Ecology 76: 2660–2663.
  10. 10. Karban R, Baldwin IT (1997) Induced responses to herbivory. Chicago, Illinois, USA: University of Chicago Press.
  11. 11. Karban R, Baldwin IT, Baxter K, Laue G, Felton G (2000) Communication between plants: induced resistance in wild tobacco plants following clipping of neighboring sagebrush. Oecologia 125: 66–71.
  12. 12. Baldwin IT, Halitschke R, Paschold A, von Dahl CC, Preston CA (2006) Volatile signaling in plant-plant interactions: “talking trees" in the genomics era. Science 311: 812–815.
  13. 13. Yi H, Heil M, Adame-Alvarez R, Ballhorn D, Ryu C (2009) Airborne induction and priming of plant defenses against a bacterial pathogen. Plant Physiol 151: 2152–2161.
  14. 14. Hayes MP, Freeman SL, Donnelly RP (1995) IFN-γ priming of monocytes enhances LPS-induced TNF production by augmenting both transcription and mRNA stability. Cytokine 7: 427–435.
  15. 15. Conrath U, Beckers GJM, Flors V, Garcia-Agustin P, Jakab G, et al. (2006) Priming: Getting ready for battle. Mol Plant-Microb Inter 19: 1062–1071.
  16. 16. Hay M (2009) Marine chemical ecology: Chemical signals and cues structure marine populations, communities, and ecosystems. Ann Rev Marine Sci 1: 193–212.
  17. 17. Pohnert G, Boland W (2002) The oxylipin chemistry of attraction and defense in brown algae and diatoms. Nat Prod Rep 19: 108–122.
  18. 18. Vos M, Vet L, Wackers F, Middelburg J, Van Der Putten W, et al. (2006) Rapid accumulation of trihydroxy oxylipins and resistance to the bean rust pathogen Uromyces fabae following wounding in Vicia faba. Ann Bot (Lond) 97: 779–784.
  19. 19. van Donk E (2007) Chemical information transfer in freshwater plankton. Ecol Informatics 2: 112–120.
  20. 20. Toth GB, Pavia H (2000) Water-borne cues induce chemical defense in a marine alga (Ascophyllum nodosum). Proc Natl Acad Sci USA 97: 14418–14420.
  21. 21. Coleman R, Ramchunder S, Davies K, Moody A, Foggo A (2007) Herbivore-induced infochemicals influence foraging behaviour in two intertidal predators. Oecologia 151: 454–463.
  22. 22. Rohde S, Molis M, Wahl M (2004) Regulation of anti-herbivore defence by Fucus vesiculosus in response to various cues. J Ecol 92: 1011–1018.
  23. 23. Haavisto F, Välikangas T, Jormalainen V (2010) Induced resistance in a brown alga: phlorotannins, genotypic variation and fitness costs for the crustacean herbivore. Oecologia 162: 685–695.
  24. 24. Cosse A, Leblanc C, Potin P (2007) Dynamic Defense of Marine Macroalgae Against Pathogens: From Early Activated to Gene-Regulated Responses. Adv Bot Res 46: 221–266.
  25. 25. Potin P (2008) 12. Oxidative Burst and Related Responses in Biotic Interactions of Algae. In: Amsler CD, editor. Algal Chemical Ecology. Berlin: Springer XVIII. pp. 245–272.
  26. 26. Pelletreau K, Targett N (2008) New perspectives for addressing patterns of secondary metabolites in marine macroalgae. In: Amsler C, editor. Algal Chemical Ecology. Berlin: Springer-Verlag. pp. 121–146.
  27. 27. Lane A, Kubanek J (2008) Secondary metabolite defenses against pathogens and biofoulers. In: Amsler C, editor. Algal Chemical Ecology. Berlin: Springer-Verlag. pp. 229–243.
  28. 28. Yoon HS, Grant J, Tekle YI, Wu M, Chaon BC, et al. (2008) Broadly sampled multigene trees of eukaryotes. BMC Evol Biol 8: 14.
  29. 29. Küpper FC, Kloareg B, Guern J, Potin P (2001) Oligoguluronates elicit an oxidative burst in the brown algal kelp Laminaria digitata. Plant Physiol 125: 278–291.
  30. 30. Küpper FC, Müller DG, Peters AF, Kloareg B, Potin P (2002) Oligoalginate recognition and oxidative burst play a key role in natural and induced resistance of sporophytes of laminariales. J Chem Ecol 28: 2057–2081.
  31. 31. Küpper FC, Gaquerel E, Boneberg E-M, Morath S, Salaün J-P, et al. (2006) Early events in the perception of lipopolysaccharides in the brown alga Laminaria digitata include an oxidative burst and activation of fatty acid oxidation cascades. J Exp Bot 57: 1991–1999.
  32. 32. Küpper FC, Gaquerel E, Cosse A, Adas F, Peters AF, et al. (2009) Free Fatty Acids and Methyl Jasmonate Trigger Defense Reactions in Laminaria digitata. Plant Cell Physiol 50: 789–800.
  33. 33. Cosse A, Potin P, Leblanc C (2009) Patterns of gene expression induced by oligoguluronates reveal conserved and environment-specific molecular defense responses in the brown alga Laminaria digitata. New Phytol 182: 239–250.
  34. 34. Goulitquer S, Ritter A, Thomas F, Ferec C, Salaün J-P, et al. (2009) Release of volatile aldehydes by the brown algal kelp Laminaria digitata in response to both biotic and abiotic stress. Chembiochem 10: 977–982.
  35. 35. Palmer CJ, Anders TL, Carpenter LJ, Küpper FC, McFiggans GB (2005) Iodine and halocarbon response of Laminaria digitata to oxidative stress and links to atmospheric new particle production. Environ Chem 2: 282–290.
  36. 36. Ton J, D'Allesandro M, Jourdie V, Jakab G, Karlen D, et al. (2007) Priming by airborne signals boosts direct and indirect resistance in maize. Plant J 49: 16–26.
  37. 37. Heyraud A, Gey C, Leonard C, Rochas C, Girond S, et al. (1996) NMR spectroscopy analysis of oligoguluronates and oligomannuronates prepared by acid or enzymatic hydrolysis of homopolymeric blocks of alginic acid: application to the determination of the substrate specificity of Haliotis tuberculata alginate lyase. Carbohydrate Res 289: 11–23.
  38. 38. Haug A, Larsen B, Smidsrød O (1974) Uronic acid sequence in alginate from different sources. Carbohydrate Res 32: 217–225.
  39. 39. Pruvost J, Connan O, Marty Y, Le Corre P (1999) A sampling device for collection and analysis of volatile halocarbons in coastal and oceanic waters. The Analyst 124: 1389–1394.
  40. 40. Apt KE, Clendennen SK, Powers DA, Grossman AR (1995) The gene family encoding the fucoxanthin chlorophyll proteins from the brown alga Macrocystis pyrifera. Mol Gen Genet 246: 455–464.
  41. 41. Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, et al. (2009) “The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments." Clin Chem 55(4): 611–622.
  42. 42. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, et al. (2002) “Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes." Genome Biology 3(7): RESEARCH0034.
  43. 43. Conrath U, Pieterse C, Mauch-Mani B (2002) Priming in plant-pathogen interactions. Trends Plant Sci 7: 210–216.
  44. 44. Frost C, Mescher M, Dervinis C, Davis J, Carlson J, et al. (2008a) Priming defense genes and metabolites in hybrid poplar by the green leaf volatile cis-3-hexenyl acetate. New Phytol 180: 722–734.
  45. 45. Frost C, Mescher M, Carlson J, De Moraes C (2008b) Plant defense priming in plant-herbivore interactions: getting ready for a different battle. Plant Physiol 146: 818–824.
  46. 46. Dring MJ (2006) Stress resistance and disease resistance in seaweeds: the role of reactive oxygen metabolism. Adv Bot Res 43: 175–207.
  47. 47. van Hulten M, Pelser M, van Loon L, Pieterse C, Ton J (2006) Costs and benefits of priming for defense in Arabidopsis. Proc Natl Acad Sci USA 103: 5602–5607.
  48. 48. Walters D, Heil M (2007) Costs and trade-offs associated with induced resistance. Physiol Mol Plant Pathol 71: 3–17.
  49. 49. Bruce T, Matthes M, Napier J, Pickett J (2007) Stressful “memories" of plants: Evidence and possible mechanisms. Plant Sci 173: 603–608.
  50. 50. Galis I, Gaquerel E, Pandey SP, Baldwin IT (2009) Molecular mechanisms underlying plant memory in JA-mediated defence responses. Plant Cell Environ 32: 617–627.
  51. 51. Broadgate WJ, Malin G, Küpper FC, Thompson A, Liss PS (2004) Isoprene and other non-methane hydrocarbons from seaweeds: a source of reactive hydrocarbons to the atmosphere. Mar Chem 88: 61–73.
  52. 52. Jones CE, Hornsby KE, Dunk RM, Leigh RJ, Carpenter LJ (2009) Coastal measurements of short-lived reactive iodocarbons and bromocarbons at Roscoff, Brittany during the RHaMBLe campaign. Atmos Chem Phys 9: 8757–8769.
  53. 53. Borell EM, Foggo A, Coleman RA (2004) Induced resistance in intertidal macroalgae modifies feeding behaviour of herbivorous snails. Oecologia 140: 328–334.
  54. 54. Vardi A, Formiggini F, Casotti R, De Martino A, Ribalet F, et al. (2006) A stress surveillance system based on calcium and nitric oxide in marine diatoms. PLoS Biol 4: 411–419.
  55. 55. Pieterse C, Dicke M (2007) Plant interactions with microbes and insects: from molecular mechanisms to ecology. Trends Plant Sci 12: 564–569.